Machine Learning Engineer Manager - APAC

Apple; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Apple's Strategic Data Solutions (SDS) team in Singapore is seeking a manager to lead a team of data scientists and ML engineers, crafting analytical solutions with measurable impact for Apple and its customers.

You will build and mentor a team of software developers and ML engineers, design real-time decisioning systems for fulfilment and financial products, and collaborate with data engineers and platform architects to deploy robust production solutions across contexts.

Qualifications

• Graduate degree in a quantitative field or equivalent experience.
• Experience leading a team of ML/Software engineers.
• Experience training, deploying, and maintaining decisioning algorithms.
• Familiarity with distributed databases, data warehousing, and SQL.
• Ability to design real-time or batch ML applications with data pipelines.

Responsibilities

• Lead and mentor a team of software developers and machine learning engineers.
• Design and maintain real-time automated decisioning systems for fulfilment and financial products.
• Collaborate with data engineers and platform architects to deploy robust production solutions.
• Engage with business partners to understand requirements and design technical solutions.
• Review production code and logic for tightly integrated systems.
• Distill complex topics for business and engineering stakeholders.

Skills

Team leadership

ML engineering

Real-time systems

SQL

Data storytelling

System design

Communication skills

Production software

Education

Graduate degree in quantitative field

Tools

Distributed databases

Data warehousing

Data pipelines

Job description

Summary

Apple's Strategic Data Solutions (SDS) team is looking for a talented manager who is passionate about leading a team of data scientists that craft, implement, and operate analytical solutions with direct and measurable impact to Apple and its customers.

You will build and lead a team of SDS machine learning engineers, who employ machine learning, statistical analysis techniques, and system design to build end-to-end solutions for Apple's fulfilment and financial programs. You will engage with a large and talented cross-functional team as we work to build out our solutions, projects and programs.

Apple's dedication to customer privacy, the adversarial nature of trader and risk, and the enormous scale of the business present exciting challenges to traditional machine learning and data science techniques. On this team, you will push the limits of integrating existing data science methods with engineering and business process to deliver tangible business value!

This position is based in Singapore.

Description

Lead and mentor a team of software developers and machine learning engineers

Design and maintain real-time automated decisioning systems and operations for fulfilment and financial products.

Collaborate with data engineers and platform architects to implement robust production real-time and batch decisioning solutions.

Engage with business partners and understand their unique requirements and design them technical solutions

Review the teams production code and logic for highly integrated system.

Distill and clearly communicate complex technical topics for both business and engineering stakeholders

Analyze data and tell meaningful stories to assist business partners.

Collaborate with and support the team to innovate, encouraging experimentation and growth.

Minimum Qualifications

• Graduate degree in a quantitative field or equivalent professional experience.
• Experience leading a team of machine learning engineers and software engineers.
• Practical experience training, deploying, and maintaining decisioning algorithms.
• Familiarity with distributed databases, data warehousing, and SQL.
• Ability to implement custom real-time or batch machine learning applications with their appropriate data pipelines.
• Ability to comprehend and debug complex system integrations spanning toolchains and teams.
• Ability to extract meaningful business insights from data and identify the stories behind the patterns.
• Ability to think at a systems level to anticipate technical, business, and customer impact.
• Clear communication and presentation skills.
• Unwavering ability to maintain poise and a positive attitude in a challenging and dynamic environment.
• Strong organizational skills with an ability to oversee and drive multiple activities at once.
• Excellent problem solving skills, business acumen, and solution design mentality.
• Experience writing, reviewing, and deploying production software.

Preferred Qualifications

• Experience in the following a plus: operations, fulfilment, supply chain, trader, payments, financial risk

Apple is an equal opportunity employer that is committed to inclusion and diversity. Apple provides reasonable accommodations to applicants with disabilities and in accordance with local requirements. Apple is a drug-free workplace.

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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Role Number: 200688411-3278